Improving Crop Mapping by Using Bidirectional Reflectance Distribution Function (BRDF) Signatures with Google Earth Engine

Improving Crop Mapping by Using Bidirectional Reflectance Distribution Function (BRDF) Signatures with Google Earth Engine

Recent studies have demonstrated the potential of using bidirectional reflectance distribution function (BRDF) signatures captured by multi-angle observation data to enhance land cover classification and retrieve vegetation architectures. Considering the diversity of crop architectures, we proposed...

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Bibliographic Details
Main Authors: Zhijun Zhen, Shengbo Chen, Tiangang Yin, Jean-Philippe Gastellu-Etchegorry
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Remote Sensing
Subjects:
bidirectional reflectance distribution function (BRDF)
crop mapping
Google Earth Engine (GEE)
kernel-driven model
supervised classification
Online Access:https://www.mdpi.com/2072-4292/15/11/2761

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https://www.mdpi.com/2072-4292/15/11/2761

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